OpenCV 2.4 寻找连通分量

Question

我正在尝试实施 OCR 应用程序。我想找到单词组，对于每个单词，我想找到每个字符的轮廓。我找到了每个单词的轮廓，但无法显示每个字符的轮廓。到目前为止我的代码：

imgInput = cv2.imread("inputImage.jpg")            

# convert image to grayscale
imgGray = cv2.cvtColor(imgInput, cv2.COLOR_BGR2GRAY)         

# invert black and white
newRet, binaryThreshold = cv2.threshold(imgGray,127,255,cv2.THRESH_BINARY_INV)

# dilation
rectkernel = cv2.getStructuringElement(cv2.MORPH_RECT,(15,10))

rectdilation = cv2.dilate(binaryThreshold, rectkernel, iterations = 1)

outputImage = imgInput.copy()

npaContours, npaHierarchy = cv2.findContours(rectdilation.copy(),        
                                             cv2.RETR_EXTERNAL,                 
                                             cv2.CHAIN_APPROX_SIMPLE)           

for npaContour in npaContours:                         
    if cv2.contourArea(npaContour) > MIN_CONTOUR_AREA:          

        [intX, intY, intW, intH] = cv2.boundingRect(npaContour)         

        cv2.rectangle(outputImage,           
              (intX, intY),                 # upper left corner
              (intX+intW,intY+intH),        # lower right corner
              (0, 0, 255),                  # red
              2)                            # thickness

        # Get subimage of word and find contours of that word
        imgROI = binaryThreshold[intY:intY+intH, intX:intX+intW]   


        subContours, subHierarchy = cv2.findContours(imgROI.copy(),        
                                             cv2.RETR_EXTERNAL,                 
                                             cv2.CHAIN_APPROX_SIMPLE) 

        # This part is not working as I am expecting
        for subContour in subContours:

            [pointX, pointY, width, height] = cv2.boundingRect(subContour) 

            cv2.rectangle(outputImage,
                         (intX+pointX, intY+pointY),            
                         (intX+width, intY+height),       
                         (0, 255, 0),
                         2)



cv2.imshow("original", imgInput)
cv2.imshow("rectdilation", rectdilation)
cv2.imshow("threshold", binaryThreshold)
cv2.imshow("outputRect", outputImage)

cv2.waitKey(0);

Answer 1

一切正确，只是有一个小错误：更改您的第二个 cv2.rectangle（在子轮廓中）

cv2.rectangle(outputImage,(intX+pointX, intY+pointY),(intX+pointX+width, intY+pointY+height), (0, 255, 0),2)

不是刻薄或小气，但这是一个您可以自己解决的错误；）调试这类代码只是尝试第一个单词，然后是第一个子轮廓，保存图像，检查 pointX、intX、width 的值……没什么太复杂的，这是你经常需要做的事情程序员.

祝你好运！

OpenCV 2.4 寻找连通分量

OpenCV 2.4 finding connected components

python

ocr

opencv